Underdog Devs - Data Science Github

A nonprofit that aims to help formerly incarcerated or disadvantaged people find careers in tech.

You can find the deployed project at Underdog Devs.

Contributors

Senior Management Team	Data Science Team FT44	Data Science Team FT43
Robert Sharp	Mitch Hollberg	Christine Wang
Ryan Hamblin	Brogan Stich	Sirivennela Vempati
Paul St.Germain	Brandon Smith	Rodrico Sanchez
	Austin Wolff	Samuel Ulloa
	Nicholas Papenburg	Ryland Gomez
	Scott Reynders	Michael Tran
	Jonathan McGraw	Evgeny Khoroshukhin
	Yefim Gorodnitskiy	Archana Coimbatore Sivagurunathan
	Dagim Bantikassegn	Daniel Ho
	Eisenhower Lancheros	BhavaniLakshmi Annapurna Jagarlamudi
	John Baker	Kevin Lynner
	Matt Grohnke	Olatomi Adigun
		Mohamed Mosaed
		Zachary Rock
		Zachary Quintana

Architecture

Key Features

• Implement a model for connecting viable mentor - mentees pairings based on skills and experience
• Use sentiment analysis to better understand the significance of a session
• Created an API interface for MongoDB that the backend can interface with
• Create mock data in place holder of real data
• Begin building out test coverage for DS FastAPI
• Reviewed proposed modifications, including meeting with directors to approve and implement beneficial changes.

Research

Our research into this project stretches far and wide, covering a multitude of libraries. To better consolidate space, you can find our research here

Tech Stack

Installation Instructions

• git clone
• cd underdog-devs-ds-a
• python -m venv venv
• source venv/bin/activate
• pip install -r requirements.txt
• chmod +x run.sh
• ./run.sh

Contributing

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.

Please note we have a code of conduct. Please follow it in all your interactions with the project.

Issue/Bug Request

If you are having an issue with the existing project code, please submit a bug report under the following guidelines:

• Check first to see if your issue has already been reported.
• Check to see if the issue has recently been fixed by attempting to reproduce the issue using the latest master branch in the repository.
• Create a live example of the problem.
• Submit a detailed bug report including your environment & browser, steps to reproduce the issue, actual and expected outcomes, where you believe the issue is originating from, and any potential solutions you have considered.

Feature Requests

We would love to hear from you about new features which would improve this app and further the aims of our project. Please provide as much detail and information as possible to show us why you think your new feature should be implemented.

Pull Requests

If you have developed a patch, bug fix, or new feature that would improve this app, please submit a pull request. It is best to communicate your ideas with the developers first before investing a great deal of time into a pull request to ensure that it will mesh smoothly with the project.

Remember that this project is licensed under the MIT license, and by submitting a pull request, you agree that your work will be, too.

Pull Request Guidelines

• Update the README.md with details of changes to the interface.
• Ensure that your code conforms to our existing code conventions and test coverage.
• Include the relevant issue number, if applicable.